// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {
using npu_preparation = at_npu::native::OpPreparation;

at::Tensor& upsample_linear1d_out(
    const at::Tensor& self,
    at::IntArrayRef output_size,
    bool align_corners,
    c10::optional<double> scales,
    at::Tensor& result) {
  DO_COMPATIBILITY(aclnnUpsampleLinear1d, acl_op::upsample_linear1d_out(self, output_size,
                                                                        align_corners,
                                                                        scales,
                                                                        result));

  auto outsize = op_infer::upsample_linear1d_npu_output_size(self, output_size,
                                                             align_corners, scales);
  npu_preparation::check_tensor({self}, result, self, outsize);
  double scales_h_attr = scales.value_or(-1);

  EXEC_NPU_CMD(aclnnUpsampleLinear1d, self, output_size, align_corners, scales_h_attr, result);
  return result;
}

at::Tensor upsample_linear1d(
    const at::Tensor& self,
    at::IntArrayRef output_size,
    bool align_corners,
    c10::optional<double> scales) {
  DO_COMPATIBILITY(aclnnUpsampleLinear1d, acl_op::upsample_linear1d(self, output_size,
                                                                    align_corners,
                                                                    scales));

  auto outsize = op_infer::upsample_linear1d_npu_output_size(self, output_size,
                                                             align_corners, scales);
  double scales_h_attr = scales.value_or(-1);

  at::Tensor result = npu_preparation::apply_tensor_without_format(outsize, self.options());

  EXEC_NPU_CMD(aclnnUpsampleLinear1d, self, output_size, align_corners, scales_h_attr, result);
  return result;
}

} // namespace op_api
